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2023 July, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for July of 2023.

Illinois State University Annuitants Association Newsletter, Summer 2023, Illinois State University, Annuitants Association

ISUAA News

Illinois State University Annuitants Association newsletter

Disrupting Deterrence Signaling: Examining The Fifth Wave Of Technology’S Impact, Brendan Balestrieri

Journal of Strategic Security

A critical component of deterrence is signaling, or how states communicate desired images of themselves and their intentions.[i] While scholars advocate for a re-examination of classical deterrence theories in light of the emergence of artificial intelligence (AI) and autonomous systems, some view the impact of AI and autonomy as a force that will diminish human agency as a component of deterrence and interactions between nations. This article argues the contrary and posits that the emergence of AI and autonomous systems will magnify the importance of human agency by enabling decision-makers to more accurately gauge credibility, will-to-fight factors, and the …

The Brave New World Of Third Party Location Data, Shelby Brennan, Stephen Coulthart, Brian Nussbaum

Journal of Strategic Security

The use of third-party location data (3PLD)—geospatial data captured by smart devices and sold by ‘data brokers’—for intelligence and investigations is increasing each year. This data source provides opportunities for analysts and decision makers to better understand as well as counter a host of security threats from common criminals to terrorists. However, and like other emerging and potent sources of intelligence like social media intelligence (SOCMINT), 3PLD must also be wielded legitimately by the government. We argue that the in the US context the legal framework surrounding these data is unclear. Due to the legal ambiguity as well as technological …

How Putin's Cyberwar Failed In Ukraine, Austen D. Givens, Max Gorbachevsky, Anita C. Biernat

Journal of Strategic Security

As Russian military forces surged across the Ukrainian border in February 2022, cybersecurity analysts shared predictions about the ways in which the Russian government would use cyberattacks to thwart Ukrainian defenses. Some government agencies and private sector organizations forecast that the Russians would launch a blitz of devastating electronic attacks against Ukrainian critical infrastructure targets, such as electrical power plants and air traffic control networks, crippling the country. While Russian cyberattacks have played a role in the conflict, their effects to date have been significantly less than what some analysts anticipated. But why? This article examines how analysts’ most extreme …

Fixing American Cybersecurity Ed. Larry Clinton, Georgetown University Press, 2023., Mark T. Peters Ii

Journal of Strategic Security

No abstract provided.

Calculating Differences In Surrogate Lung Perfusion Measurements Between Smokers And Nonsmokers As A Biomarker To Assess Their Potentials For Developing Chronic Obstructive Pulmonary Disease, A Prakash, A Nowacki, Y K. Liu, J Cisneros-Paz, Girish Nair, E Castillo

Conference Presentation Abstracts

Purpose: COPD (chronic obstructive pulmonary disease) is a collection of lung diseases that complicates breathing and causes irreversible lung damage. Given that it is a progressive disease, early detection is crucial for managing its symptoms. We recently developed a method for calculating pulmonary blood mass change (PBMC) apparent on paired inhale/exhale non-contrast computed tomography (CT) scans as a quantitative surrogate for lung perfusion. Our long term objective is to develop a PBMC biomarker for predicting COPD progression. As a first step, we hypothesize that PBMC is significantly lower for non-COPD smokers versus non-COPD non-smokers. Methods: CT scans from 77 healthy …

When Your Boss Is An Algorithm: Preserving Canadian Employment Standards In The Digital Economy, Fife Ogunde

Canadian Journal of Law and Technology

The platform or ‘‘gig” economy is a rapidly growing economy in Canada. Between 2005 and 2016, the share of gig workers among all workers in Canada rose from 5.5% to 8.2%. These include independent contractors, select freelancers and platform workers. In 2018, 28% of Canadians aged 18 and older reported making money through online platforms. Research by Payments Canada in 2021 showed gig workers as representing more than one in 10 Canadian adults with more than one in three Canadian businesses employing gig workers. As the share of platform workers in the economy has grown, so has the discussion regarding …

The Challenge Designing Intermediary Liability Laws, Emily Laidlaw

Canadian Journal of Law and Technology

The ideal framework for intermediary liability has vexed policymakers since the internet’s commercialization. The quest has taken on a frenzied pace in recent years with intense scrutiny of who they are, what they do and what they should be responsible for. Over the years a theme has emerged from my discussions about intermediaries, and its subset platforms, and it prompts me to explore it as the focus of this article. My question is simple: why is it so difficult for law and policymakers to agree on a regulatory framework?

This article tackles two parts of the regulatory challenge that are …

Engineering Heterogeneous Nucleation During Solidification Of Multiphase Cast Alloys: An Overview, Simon (Semen) N. Lekakh, Jingjing Qing

Materials Science and Engineering Faculty Research & Creative Works

The theory of heterogeneous nucleation was initially developed as a part of condensed matter physics, and later it was used as an important engineering tool to design metallurgical processes. This success has led to wide applications of the theory in metallurgical practice. For example, engineering heterogeneous nucleation in ductile iron has been used to reduce shrinkage defects, suppress cementite formation, and modify the size and shape of microstructural constituencies. This demonstrates how theoretical knowledge could benefit industry practice. This overview aims to summarize the authors' published studies in co-authorship with colleagues and students, which covers different aspects of engineering heterogeneous …

Prevalence Of Leprosy In Lower -Middle- Income And Upper -Middle-Income Countries: A Secondary Data Analysis, Venkatesh Ramaswamy Naik, Rishikha Jeyapal

Manipal Journal of Nursing and Health Sciences

Abstract

To Study the Prevalence of Leprosy in Lower -Middle- Income and Upper -Middle-Income Countries

Introduction: Leprosy is an infectious disease affecting the nerves causing loss of sensation of touch and pain in the affected areas. The prevalence of leprosy in different countries has changed over time with the governments of the respective countries intensifying their efforts and working on various public health programs. Objective: This study aimed to look into the prevalence rates of leprosy per 1000000 population in lower-middle-income and upper-middle-income countries. Material and Method: The prevalence rates per 1000000 population were obtained from the Global Health Observatory …

Fatigue During The Covid-19 Pandemic: The Experiences Of Chinese Seafarers, Zhiwei Zhao, Lijun Tang, Yueyan Wu

Plymouth Business School

Though the COVID-19 pandemic is drawing to a close, very little is known about the impact of China’s zero-COVID policy on Chinese seafarers. This paper examines Chinese seafarers’ experiences of fatigue during the pandemic. It adopted a mix-method research design involving two quantitative surveys conducted with seafarers before and during the pandemic and 35 in-depth interviews with both seafarers and managers. All the participants were from two Chinese shipping companies. The comparisons between the two surveys show that Chinese seafarers experienced significantly higher levels of fatigue during the pandemic. The interview data suggest a range of factors underpinning the higher …

The Clear Path: A Framework For Enhancing Information Literacy Through Prompt Engineering, Leo S. Lo

University Libraries & Learning Sciences Faculty and Staff Publications

This article introduces the CLEAR Framework for Prompt Engineering, designed to optimize interactions with AI language models like ChatGPT. The framework encompasses five core principles—Concise, Logical, Explicit, Adaptive, and Reflective—that facilitate more effective AI-generated content evaluation and creation. Additionally, the article discusses technical aspects of prompts, such as tokens, temperature, and top-p settings. By integrating the CLEAR Framework into information literacy instruction, academic librarians can empower students with critical thinking skills for the ChatGPT era and adapt to the rapidly evolving AI landscape in higher education.

Blockchain And Regenerative Finance: Charting A Path Toward Regeneration, Marco Schletz, Axel Constant, Angel Hsu, Simon J.D. Schillebeeckx, Roman Beck, Martin Wainstein

Research Collection Lee Kong Chian School Of Business

The Regenerative Finance (ReFi) movement aims to fundamentally transform the governance of global common pool resources (CPRs), such as the atmosphere, which are being degraded despite international efforts. The ReFi movement seeks to achieve this by utilizing digital monitoring, reporting, and verification (D-MRV); tokenization of assets; and decentralized governance approaches. However, there is currently a lack of a clear path forward to create and implement models that actually drive the “Re-” in ReFi beyond perpetuating the existing extractive economics and toward actual regeneration. In addition, ReFi suffers from growing pains, lacking a common interoperability framework and definition for determining what …

Seeking Better Sharpe Ratio Via Bayesian Optimization, Peng Liu

Research Collection Lee Kong Chian School Of Business

Developing an excellent quantitative trading strategy to obtain a high Sharpe ratio requires optimizing several parameters at the same time. Example parameters include the window length of a moving average sequence, the choice of trading instruments, and the thresholds used to generate trading signals. Simultaneously optimizing all these parameters to seek a high Sharpe ratio is a daunting and time-consuming task, partly because of the unknown mechanism determining the Sharpe ratio. This article proposes using Bayesian optimization to systematically search for the optimal parameter configuration that leads to a high Sharpe ratio. The author shows that the proposed intelligent search …

Perspectives On The Impact, Mission And Purpose Of The Business School, Howard Thomas

Research Collection Lee Kong Chian School Of Business

The business school has been an important success story in the evolution of the modern university. The concept of how the impact, mission, purpose, and value of a management school should be formulated is often delegated to the dean, faculty and advisory committees in most schools. The British Academy has contributed significantly to the emerging debate on the purpose of a business school by both examining the concept of a purposeful business school in business and management education and, more recently, investigating what, and how, business schools should teach, grow and develop. Greater attention has been directed towards developing more …

Inter-Frame Video Compression Based On Adaptive Fuzzy Inference System Compression Of Multiple Frame Characteristics, Arief Bramanto Wicaksono Putra, Rheo Malani, Bedi Suprapty, Achmad Fanany Onnilita Gaffar, Roman Voliansky

Knowledge Engineering and Data Science

Video compression is used for storage or bandwidth efficiency in clip video information. Video compression involves encoders and decoders. Video compression uses intra-frame, inter-frame, and block-based methods. Video compression compresses nearby frame pairs into one compressed frame using inter-frame compression. This study defines odd and even neighboring frame pairings. Motion estimation, compensation, and frame difference underpin video compression methods. In this study, adaptive FIS (Fuzzy Inference System) compresses and decompresses each odd-even frame pair. First, adaptive FIS trained on all feature pairings of each odd-even frame pair. Video compression-decompression uses the taught adaptive FIS as a codec. The features utilized …

Maximum Marginal Relevance And Vector Space Model For Summarizing Students' Final Project Abstracts, Gunawan Gunawan, Fitria Fitria, Esther Irawati Setiawan, Kimiya Fujisawa

Knowledge Engineering and Data Science

Automatic summarization is reducing a text document with a computer program to create a summary that retains the essential parts of the original document. Automatic summarization is necessary to deal with information overload, and the amount of data is increasing. A summary is needed to get the contents of the article briefly. A summary is an effective way to present extended information in a concise form of the main contents of an article, and the aim is to tell the reader the essence of a central idea. The simple concept of a summary is to take an essential part of …

Long-Term Traffic Prediction Based On Stacked Gcn Model, Atkia Akila Karim, Naushin Nower

Knowledge Engineering and Data Science

With the recent surge in road traffic within major cities, the need for both short and long-term traffic flow forecasting has become paramount for city authorities. Previous research efforts have predominantly focused on short-term traffic flow estimations for specific road segments and paths. However, applications of paramount importance, such as traffic management and schedule routing planning, demand a deep understanding of long-term traffic flow predictions. However, due to the intricate interplay of underlying factors, there exists a scarcity of studies dedicated to long-term traffic prediction. Previous research has also highlighted the challenge of lower accuracy in long-term predictions owing to …

K-Means Clustering And Multilayer Perceptron For Categorizing Student Business Groups, Miftahul Walid, Norfiah Lailatin Nispi Sahbaniya, Hozairi Hozairi, Fajar Baskoro, Arya Yudhi Wijaya

Knowledge Engineering and Data Science

The research conducted in this study was driven by the East Java provincial government's requirement to assess the transaction levels of the Student Business Group (KUS) in the SMA Double Track program. These transaction levels are a basis for allocating supplementary financial aid to each business group. The system's primary objective is to assist the provincial government of East Java in making well-informed choices pertaining to the distribution of supplementary capital to the KUS. The classification technique employed in this study is the multilayer perceptron. However, the K-Means Clustering method is utilised to generate target data due to the limited …

Modeling Of A Hinged-Raft Wave Energy Converter Via Deep Operator Learning And Wave Tank Experiments, Jincheng Zhang, Xiaowei Zhao, Deborah Greaves, Siya Jin

School of Engineering, Computing and Mathematics

Model identification for a hinged-raft wave energy converter (WEC) is investigated in this paper, based on wave tank experiments and deep operator learning. Different from previous works which all formulated this issue as a function approximation task, this work, for the first time, formulates it as an operator approximation task (which learns the mapping from a function space to another function space). As such, a continuous-time WEC model is identified from data, greatly expanding the horizon of data-based WEC modeling because previous works were limited to discrete-time model identification. The error accumulation for multi-step predictions in the discrete-time formulation is …

A Motor Association Area In The Depths Of The Central Sulcus, Michael A Jensen, Harvey Huang, Gabriela Ojeda Valencia, Bryan T Klassen, Max A Van Den Boom, Timothy J Kaufmann, Gerwin Schalk, Peter Brunner, Gregory A Worrell, Dora Hermes, Kai J Miller

2020-Current year OA Pubs

Cells in the precentral gyrus directly send signals to the periphery to generate movement and are principally organized as a topological map of the body. We find that movement-induced electrophysiological responses from depth electrodes extend this map three-dimensionally throughout the gyrus. Unexpectedly, this organization is interrupted by a previously undescribed motor association area in the depths of the midlateral aspect of the central sulcus. This 'Rolandic motor association' (RMA) area is active during movements of different body parts from both sides of the body and may be important for coordinating complex behaviors.

The Impact Of Covid-19 On Maritime Pilots: Evidence And Lessons, Zhiwei Zhao, Lijun Tang

Plymouth Business School

The COVID-19 pandemic led to port congestion and disruption to global logistics and supply chains. While previous research has examined the impact on port performance and economics, social issues, such as the impact on port personnel (including pilots), have been overlooked. In this context, this paper examines the challenges experienced by Chinese pilots during the pandemic through in-depth interviews with 28 pilots. It shows that the draconian pandemic control measures adopted in China, rather than the pandemic itself, impaired pilots’ physical and mental health, reduced their availability, and introduced new safety hazards, which curtailed both the port’s capacity and ability …

A Dynamical Systems Approach To Characterizing Brain–Body Interactions During Movement: Challenges, Interpretations, And Recommendations, Derek C. Monroe, Nathaniel T. Berry, Peter C. Fino, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Brain–body interactions (BBIs) have been the focus of intense scrutiny since the inception of the scientific method, playing a foundational role in the earliest debates over the philosophy of science. Contemporary investigations of BBIs to elucidate the neural principles of motor control have benefited from advances in neuroimaging, device engineering, and signal processing. However, these studies generally suffer from two major limitations. First, they rely on interpretations of ‘brain’ activity that are behavioral in nature, rather than neuroanatomical or biophysical. Second, they employ methodological approaches that are inconsistent with a dynamical systems approach to neuromotor control. These limitations represent a …

Genetic Algorithm Theory In Simulation Programs As A Tool For Improving The Environmental Performance Of Office Buildings, Somaia Mohamed Arafa, Esraa Mohamed Elazab, Nanees Abd Elhamid Elsayyad

Mansoura Engineering Journal

Globally, a large proportion of a building's energy is consumed to achieve thermal comfort, as promoting energy efficiency and environmental sustainability of buildings is an important global goal. Therefore, the new building regulations are geared explicitly toward energy-saving projects. However, there are usually many competitive priorities, such as maximizing energy use in office buildings, leading to the complex multi-objective optimization topic. The main objective of this research was to reduce the energy consumed for cooling load in the office buildings in the city of Cairo, which is located in a hot desert climate. This was achieved by optimizing ten different …

State: The Magazine Of Illinois State University, Summer 2023, Illinois State University, University Marketing And Communications

State: The Magazine of Illinois State University (1999-present)

Illinois State University alumni magazine

Life Cycle Assessment Of Calcium Oxide Pretreatment Of Corn Stover With Carbon Dioxide Neutralization For Ethanol Production, Jikai Zhao, Danyi Feng, Juhee Lee

School of Earth, Environmental, & Marine Sciences Faculty Publications

This work used life-cycle assessment (LCA) to determine the environmental and human health impacts of four ethanol production scenarios (S1: CaO pretreatment + H2SO4 neutralization + C6 yeast fermentation; S2: CaO pretreatment + CO2 neutralization + C6 yeast fermentation; S3: CaO pretreatment + H2SO4 neutralization + C6/C5 yeast fermentation; and S4: CaO pretreatment + CO2 neutralization + C6/C5 yeast fermentation), with the functional unit being 1 kg of 95 % ethanol. The LCA results showed that the total ozone depletion, global warming potential, smog, acidification, eutrophication, and ecotoxicity values were comparable when CO2 or H2SO4 were used to adjust the …

Self-Healing In Cyber–Physical Systems Using Machine Learning: A Critical Analysis Of Theories And Tools, Obinna Johnphill, Ali Safaa Sadiq, Feras Al-Obeidat, Haider Al-Khateeb, Mohammed Adam Taheir, Omprakash Kaiwartya, Mohammed Ali

All Works

The rapid advancement of networking, computing, sensing, and control systems has introduced a wide range of cyber threats, including those from new devices deployed during the development of scenarios. With recent advancements in automobiles, medical devices, smart industrial systems, and other technologies, system failures resulting from external attacks or internal process malfunctions are increasingly common. Restoring the system’s stable state requires autonomous intervention through the self-healing process to maintain service quality. This paper, therefore, aims to analyse state of the art and identify where self-healing using machine learning can be applied to cyber–physical systems to enhance security and prevent failures …

Quality Of Growth And Poverty In Low Income Countries: The Role Of Manufacturing, Raul V. Fabella, Sarah Lynne S. Daway-Ducanes, Geoffrey Ducanes

Economics Department Faculty Publications

Both the Millennium Development Goals (MDGs) which ended in 2015, and its replacement the Sustainable Development Goals (SDGs) of the United Nations which will end in 2030, target the eradication of poverty. The 2020 Covid pandemic has seriously worsened poverty incidence in many low income countries, and recovering lost ground is paramount. As low income economies try to establish a new normal, they need to aim not only for higher overall economic growth but also for a higher quality of economic growth for improved inclusion outcome. Higher quality means more inclusion per unit growth. We discuss how for the same …

Kinetic Particle Simulations Of Plasma Charging At Lunar Craters Under Severe Conditions, David Lund, Xiaoming He, Daoru Frank Han

Mathematics and Statistics Faculty Research & Creative Works

This paper presents fully kinetic particle simulations of plasma charging at lunar craters with the presence of lunar lander modules using the recently developed Parallel Immersed-Finite-Element Particle-in-Cell (PIFE-PIC) code. The computation model explicitly includes the lunar regolith layer on top of the lunar bedrock, taking into account the regolith layer thickness and permittivity as well as the lunar lander module in the simulation domain, resolving a nontrivial surface terrain or lunar lander configuration. Simulations were carried out to study the lunar surface and lunar lander module charging near craters at the lunar terminator region under mean and severe plasma environments. …